Reconciliation in Colombia – A Q-methodological Study

This is the data from a q-methodological research project on reconciliation in Colombia, which was conducted from May 2021 until August 2022 and funded by the Deutsche Stiftung Friedensforschung (DSF). Data was collected from October until mid-December 2021 online via Q Method Software (https://qmethodsoftware.com) and analyzed with Ken-Q Analysis (https://shawnbanasick.github.io/ken-q-analysis/). Research participants were asked to share their perspectives on reconciliation in Colombia by ranking images on a distribution scale from -4 (least representative images for reconciliation) to +4 (most representative images for reconciliation). The resulting distributions of images are referred to as Q sorts and factor analysis is used to find groups of similar Q sorts, i.e. perspectives on reconciliation. Since the scope of publications is always limited, we seek to provide a higher level of transparency to our research providing our research data in this repository.

这是一项关于哥伦比亚和解的Q方法学（q-methodological）研究项目的数据。该项目于2021年5月至2022年8月开展，由德国和平研究基金会（Deutsche Stiftung Friedensforschung，DSF）资助。数据收集于2021年10月至12月中旬通过在线Q方法软件（Q Method Software，网址：https://qmethodsoftware.com）完成，并使用Ken-Q分析工具（Ken-Q Analysis，网址：https://shawnbanasick.github.io/ken-q-analysis/）进行分析。研究参与者需通过对图像进行排序来表达其对哥伦比亚和解的看法，排序采用分布量表，范围从-4（最不代表和解的图像）到+4（最能代表和解的图像）。由此产生的图像分布被称为Q排序（Q sorts），并通过因子分析找出相似Q排序的群体，即和解的不同视角。由于出版物的范围始终有限，我们通过在此存储库中提供研究数据，力求为研究增加更高程度的透明度。